ST-BFL: A Structured Transparency Empowered Cross-Silo Federated Learning on the Blockchain Framework

ST-BFL: A Structured Transparency Empowered Cross-Silo Federated Learning on the Blockchain Framework

Federated Learning (FL) relies on on-device training to avoid the migration of devices’ data to a centralized server to address privacy leakage. Moreover, FL is feasible for scenarios (e.g., autonomous cars) where an enormous amount of data is generated every day. Transferring only local...

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Bibliographic Details
Main Authors: Umer Majeed, Latif U. Khan, Abdullah Yousafzai, Zhu Han, Bang Ju Park, Choong Seon Hong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Blockchain
Ethereum
federated learning
flow governance
homomorphic encryption
input privacy
Online Access:https://ieeexplore.ieee.org/document/9617624/

Internet

https://ieeexplore.ieee.org/document/9617624/

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